Essentials of Big Data Analytics: Applications in R and Python

Essentials of Big Data Analytics: Applications in R and Python is a comprehensive guide that demystifies the complex world of big data analytics, blending theoretical concepts with hands-on practices using the Python and R programming languages and MapReduce framework. This book bridges the gap between theory and practical implementation, providing clear and practical understanding of the key principles and techniques essential for harnessing the power of big data. Essentials of Big Data Analytics is designed to provide a comprehensive resource for readers looking to deepen their understanding of Big Data analytics, particularly within a computer science, engineering, and data science context. By bridging theoretical concepts with practical applications, the book emphasizes hands-on learning through exercises and tutorials, specifically utilizing R and Python. Given the growing role of Big Data in industry and scientific research, this book serves as a timely resource to equip professionals with the skills needed to thrive in data-driven environments.

Table of Contents:
1. Introduction to Big Data Analytics 2. Mathematical Foundations 3. Big Data Technologies and Programming 4. Data Ingestion and Preprocessing 5. Big Data Storage and Management 6. Advanced MapReduce for Big Data Processing 7. Machine Learning Techniques for Big Data Processing 8. Mining Data Streams 9. Case Studies and Practical Applications 10. Hands-on Exercises and Tutorials with R, MapReduce, and Data Streams 11. Emerging Trends and Future Directions

About the Author :
Dr. Pallavi Vijay Chavan is Professor and head-IT at Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, MH, India. She has been in academics since the past 20 years and working in the area of computing theory, data science and network security. In her academic journey, she published research work in the data science and security domain with reputed publishers including Springer, Elsevier, CRC press and Inderscience. She has published 5 books, 17+ book chapters, 10+ international journal papers and 30+ international conference papers. Two research scholars have successfully completed their PhD under her guidance and presently she is guiding 5 Ph.D. research scholars in the similar domain. She completed her Ph.D. from Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, MH, India in 2017. She secured the first merit position in Nagpur University for the degree of B.E. in Computer Engineering in 2003. She is recipient of research grants from UGC, CSIR and University of Mumbai. She is acting as a reviewer for Elsevier , Inderscience journals. Her firm belief is “Teaching is a mission”. Dr. Kalyani Pampattiwar is an Assistant Professor at SIES Graduate School of Technology, Navi Mumbai, MH, India, with 21 years of experience in academia, specializing in blockchain, information security and network security. She earned her doctoral degree in 2023 from D. Y. Patil Deemed to be University, Navi Mumbai, MH, India. She holds the designation of Certified Software Tester and has received research funds from the University of Mumbai. Her research contributions include publications in prestigious international journals, conferences by Inderscience, Springer, and IEEE, as well as book chapters with reputed publishers such as Springer, Elsevier etc. She has received Swayam's "NPTEL Discipline Star" award. Dr. Mangrulkar is a Professor of Information Technology at Dwarkadas Sanghvi College of Engineering and has 20 years of teaching experience in the field of intelligent systems and security. He completed his M.Sc. in Computer Science and Engineering from NIT Rourkela. He completed his Ph.D. in Information Security from SGBAU, Amravati. Dr. Mangrulkar is the recipient of grants from UGC as well as AICTE. Affiliations and expertise Professor, Department of Information Technology, Dwarkadas Sanghvi College of Engineering, India.